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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

Showing 5160 of 261 papers

TitleStatusHype
A Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection SystemsCode0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly DetectionCode0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
Deep Anomaly Detection with Deviation NetworksCode0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
Data Distribution ValuationCode0
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternativesCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
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